DesercionReport

Dataset statistics

Number of variables	26
Number of observations	83084
Missing cells	913242
Missing cells (%)	42.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	50.6 MiB
Average record size in memory	639.2 B

Variable types

Categorical	8
Numeric	18

Warnings

`SUBJ_DESC` has a high cardinality: 73 distinct values	High cardinality
`PSC` is highly correlated with `PLC` and 1 other fields	High correlation
`PMA` is highly correlated with `PCN`	High correlation
`PLC` is highly correlated with `PSC`	High correlation
`PCN` is highly correlated with `PSC` and 1 other fields	High correlation
`ICQU` is highly correlated with `ICMA` and 4 other fields	High correlation
`ICMA` is highly correlated with `ICQU` and 2 other fields	High correlation
`ICLE` is highly correlated with `ICFL` and 1 other fields	High correlation
`ICHI` is highly correlated with `ICQU` and 1 other fields	High correlation
`ICGE` is highly correlated with `ICHI`	High correlation
`ICFL` is highly correlated with `ICQU` and 1 other fields	High correlation
`ICFI` is highly correlated with `ICQU` and 3 other fields	High correlation
`ICBI` is highly correlated with `ICQU` and 3 other fields	High correlation
`ICSO` is highly correlated with `ICBI`	High correlation
`PSC` is highly correlated with `PLC`	High correlation
`PMA` is highly correlated with `PCN`	High correlation
`PLC` is highly correlated with `PSC`	High correlation
`PCN` is highly correlated with `PMA`	High correlation
`ICQU` is highly correlated with `ICMA` and 4 other fields	High correlation
`ICMA` is highly correlated with `ICQU` and 2 other fields	High correlation
`ICLE` is highly correlated with `ICFL` and 1 other fields	High correlation
`ICHI` is highly correlated with `ICQU` and 1 other fields	High correlation
`ICGE` is highly correlated with `ICQU` and 1 other fields	High correlation
`ICFL` is highly correlated with `ICLE`	High correlation
`ICFI` is highly correlated with `ICQU` and 4 other fields	High correlation
`ICBI` is highly correlated with `ICQU` and 3 other fields	High correlation
`ICSO` is highly correlated with `ICFI` and 1 other fields	High correlation
`ICHI` is highly correlated with `ICGE`	High correlation
`ICGE` is highly correlated with `ICHI`	High correlation
`IND_REP` is highly correlated with `GRDE_CODE_FINAL`	High correlation
`MAJR_DESC1` is highly correlated with `ICSO` and 8 other fields	High correlation
`ICMA` is highly correlated with `ICFL` and 7 other fields	High correlation
`PLC` is highly correlated with `PMA` and 2 other fields	High correlation
`ICFL` is highly correlated with `ICMA` and 7 other fields	High correlation
`PIN` is highly correlated with `PMA` and 1 other fields	High correlation
`ICSO` is highly correlated with `MAJR_DESC1` and 6 other fields	High correlation
`ICGE` is highly correlated with `MAJR_DESC1` and 10 other fields	High correlation
`HAVE_PHONE` is highly correlated with `ICGE` and 1 other fields	High correlation
`CRN_KEY` is highly correlated with `SUBJ_DESC` and 2 other fields	High correlation
`ICBI` is highly correlated with `ICMA` and 7 other fields	High correlation
`GRDE_CODE_FINAL` is highly correlated with `IND_REP` and 1 other fields	High correlation
`HAVE_BECA` is highly correlated with `PCN` and 1 other fields	High correlation
`PMA` is highly correlated with `PLC` and 3 other fields	High correlation
`ICQU` is highly correlated with `MAJR_DESC1` and 9 other fields	High correlation
`CRED_ACAD` is highly correlated with `SUBJ_DESC`	High correlation
`CRSE_NUMBER` is highly correlated with `MAJR_DESC1` and 2 other fields	High correlation
`PSC` is highly correlated with `PLC` and 2 other fields	High correlation
`ICLE` is highly correlated with `ICMA` and 7 other fields	High correlation
`SUBJ_DESC` is highly correlated with `MAJR_DESC1` and 5 other fields	High correlation
`ICHI` is highly correlated with `MAJR_DESC1` and 13 other fields	High correlation
`COLL_DESC` is highly correlated with `MAJR_DESC1` and 6 other fields	High correlation
`PCN` is highly correlated with `PLC` and 4 other fields	High correlation
`CAMPUS` is highly correlated with `MAJR_DESC1` and 3 other fields	High correlation
`ICFI` is highly correlated with `MAJR_DESC1` and 8 other fields	High correlation
`BECA_GOB_ICFES` is highly correlated with `HAVE_BECA` and 1 other fields	High correlation
`COLL_DESC` is highly correlated with `MAJR_DESC1`	High correlation
`MAJR_DESC1` is highly correlated with `COLL_DESC` and 1 other fields	High correlation
`CAMPUS` is highly correlated with `MAJR_DESC1`	High correlation
`HAVE_BECA` is highly correlated with `BECA_GOB_ICFES`	High correlation
`BECA_GOB_ICFES` is highly correlated with `HAVE_BECA`	High correlation
`IND_REP` has 75153 (90.5%) missing values	Missing
`PSC` has 26574 (32.0%) missing values	Missing
`PMA` has 26574 (32.0%) missing values	Missing
`PLC` has 26574 (32.0%) missing values	Missing
`PIN` has 26574 (32.0%) missing values	Missing
`PCN` has 26610 (32.0%) missing values	Missing
`ICQU` has 77050 (92.7%) missing values	Missing
`ICMA` has 77050 (92.7%) missing values	Missing
`ICLE` has 77050 (92.7%) missing values	Missing
`ICHI` has 82749 (99.6%) missing values	Missing
`ICGE` has 82749 (99.6%) missing values	Missing
`ICFL` has 77050 (92.7%) missing values	Missing
`ICFI` has 77050 (92.7%) missing values	Missing
`ICBI` has 77050 (92.7%) missing values	Missing
`ICSO` has 77385 (93.1%) missing values	Missing
`CRED_ACAD` has 2178 (2.6%) zeros	Zeros

Reproduction

Analysis started	2021-06-16 04:32:46.865324
Analysis finished	2021-06-16 04:34:41.878612
Duration	1 minute and 55.01 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

SUBJ_DESC
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	73
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.4 MiB

MATEMATICAS	9670
DISEÑO	8603
COMPUTACION	5256
FISICA	5055
SOCIOLOGIA	4476
Other values (68)	50024

Length

Max length	30
Median length	11
Mean length	12.22193202
Min length	6

Characters and Unicode

Total characters	1015447
Distinct characters	31
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	ADMINISTRACION
2nd row	ADMINISTRACION
3rd row	ADMINISTRACION
4th row	ADMINISTRACION
5th row	ADMINISTRACION

Common Values

Value	Count	Frequency (%)
MATEMATICAS	9670	11.6%
DISEÑO	8603	10.4%
COMPUTACION	5256	6.3%
FISICA	5055	6.1%
SOCIOLOGIA	4476	5.4%
FINANZAS CORPORATIVAS	3710	4.5%
SISTEMICA	2890	3.5%
BIOMEDICA	2839	3.4%
AUTOMATIZACION Y CONTROL	2724	3.3%
TERMOFLUIDOS	2300	2.8%
Other values (63)	35561	42.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
matematicas	9670	8.5%
diseño	8603	7.5%
y	8489	7.4%
computacion	5256	4.6%
fisica	5055	4.4%
sociologia	4476	3.9%
finanzas	3710	3.3%
corporativas	3710	3.3%
energia	2944	2.6%
sistemica	2890	2.5%
Other values (91)	59161	51.9%

Most occurring characters

Value	Count	Frequency (%)
I	127896	12.6%
A	125655	12.4%
O	99321	9.8%
C	89873	8.9%
E	83365	8.2%
T	70254	6.9%
S	64244	6.3%
N	57201	5.6%
M	49535	4.9%
R	43924	4.3%
Other values (21)	204179	20.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	984391	96.9%
Space Separator	30880	3.0%
Other Punctuation	174	< 0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	127896	13.0%
A	125655	12.8%
O	99321	10.1%
C	89873	9.1%
E	83365	8.5%
T	70254	7.1%
S	64244	6.5%
N	57201	5.8%
M	49535	5.0%
R	43924	4.5%
Other values (17)	173123	17.6%

Decimal Number

Value	Count	Frequency (%)
3	1	50.0%
1	1	50.0%

Space Separator

Value	Count	Frequency (%)
	30880	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	174	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	984391	96.9%
Common	31056	3.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	127896	13.0%
A	125655	12.8%
O	99321	10.1%
C	89873	9.1%
E	83365	8.5%
T	70254	7.1%
S	64244	6.5%
N	57201	5.8%
M	49535	5.0%
R	43924	4.5%
Other values (17)	173123	17.6%

Common

Value	Count	Frequency (%)
	30880	99.4%
.	174	0.6%
3	1	< 0.1%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1006844	99.2%
Latin 1 Sup	8603	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	127896	12.7%
A	125655	12.5%
O	99321	9.9%
C	89873	8.9%
E	83365	8.3%
T	70254	7.0%
S	64244	6.4%
N	57201	5.7%
M	49535	4.9%
R	43924	4.4%
Other values (20)	195576	19.4%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	8603	100.0%

CRSE_NUMBER
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	199
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10183.59626

Minimum	101
Maximum	26013
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	101
5-th percentile	101
Q1	105
median	15009
Q3	18006
95-th percentile	19003
Maximum	26013
Range	25912
Interquartile range (IQR)	17901

Descriptive statistics

Standard deviation	8839.704617
Coefficient of variation (CV)	0.8680336875
Kurtosis	-1.888118253
Mean	10183.59626
Median Absolute Deviation (MAD)	3993
Skewness	-0.2295100956
Sum	846093912
Variance	78140377.71
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
101	8100	9.7%
18001	7534	9.1%
18002	5158	6.2%
19001	4738	5.7%
102	4229	5.1%
103	3972	4.8%
104	3182	3.8%
18003	2435	2.9%
107	2365	2.8%
19003	2085	2.5%
Other values (189)	39286	47.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
101	8100	9.7%
102	4229	5.1%
103	3972	4.8%
104	3182	3.8%
105	2006	2.4%
106	1537	1.8%
107	2365	2.8%
108	765	0.9%
109	1042	1.3%
110	1126	1.4%

Value	Count	Frequency (%)
26013	1	< 0.1%
26003	1	< 0.1%
26002	3	< 0.1%
25005	28	< 0.1%
25004	60	0.1%
25002	265	0.3%
22001	2	< 0.1%
21610	1	< 0.1%
19032	57	0.1%
19031	59	0.1%

GRDE_CODE_FINAL
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	51
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.771265226

Minimum	0
Maximum	5
Zeros	477
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	2.6
Q1	3.3
median	3.8
Q3	4.3
95-th percentile	4.8
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7748867099
Coefficient of variation (CV)	0.2054712845
Kurtosis	4.052734555
Mean	3.771265226
Median Absolute Deviation (MAD)	0.5
Skewness	-1.333337753
Sum	313331.8
Variance	0.6004494132
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	5383	6.5%
4	4725	5.7%
4.1	4463	5.4%
4.2	4374	5.3%
4.3	4236	5.1%
3.8	4141	5.0%
3.9	4085	4.9%
3.7	3990	4.8%
4.4	3987	4.8%
4.5	3924	4.7%
Other values (41)	39776	47.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	477	0.6%
0.1	42	0.1%
0.2	44	0.1%
0.3	35	< 0.1%
0.4	29	< 0.1%
0.5	105	0.1%
0.6	51	0.1%
0.7	59	0.1%
0.8	49	0.1%
0.9	72	0.1%

Value	Count	Frequency (%)
5	2474	3.0%
4.9	1445	1.7%
4.8	2007	2.4%
4.7	2568	3.1%
4.6	3151	3.8%
4.5	3924	4.7%
4.4	3987	4.8%
4.3	4236	5.1%
4.2	4374	5.3%
4.1	4463	5.4%

CRN_KEY
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2631
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46767.03765

Minimum	35069
Maximum	55535
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	35069
5-th percentile	36439
Q1	43419
median	47801.5
Q3	50698
95-th percentile	54234
Maximum	55535
Range	20466
Interquartile range (IQR)	7279

Descriptive statistics

Standard deviation	5271.029187
Coefficient of variation (CV)	0.1127082118
Kurtosis	-0.6495261632
Mean	46767.03765
Median Absolute Deviation (MAD)	3181.5
Skewness	-0.5031430672
Sum	3885592556
Variance	27783748.69
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37717	269	0.3%
42066	267	0.3%
49664	245	0.3%
37714	233	0.3%
35942	229	0.3%
44840	227	0.3%
40423	225	0.3%
37028	222	0.3%
40421	219	0.3%
50428	215	0.3%
Other values (2621)	80733	97.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
35069	195	0.2%
35076	6	< 0.1%
35311	124	0.1%
35332	174	0.2%
35343	49	0.1%
35350	5	< 0.1%
35354	2	< 0.1%
35360	87	0.1%
35363	13	< 0.1%
35366	11	< 0.1%

Value	Count	Frequency (%)
55535	1	< 0.1%
55534	1	< 0.1%
55525	4	< 0.1%
55523	4	< 0.1%
55516	1	< 0.1%
55497	9	< 0.1%
55494	1	< 0.1%
55475	1	< 0.1%
55466	9	< 0.1%
55465	17	< 0.1%

CRED_ACAD
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.943779789

Minimum	0
Maximum	16
Zeros	2178
Zeros (%)	2.6%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	4
Maximum	16
Range	16
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.496246625
Coefficient of variation (CV)	0.5082739647
Kurtosis	33.60205399
Mean	2.943779789
Median Absolute Deviation (MAD)	1
Skewness	3.86010005
Sum	244581
Variance	2.238753962
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	36652	44.1%
4	21485	25.9%
2	12452	15.0%
1	8648	10.4%
0	2178	2.6%
5	579	0.7%
16	504	0.6%
8	317	0.4%
6	265	0.3%
12	2	< 0.1%
Other values (2)	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2178	2.6%
1	8648	10.4%
2	12452	15.0%
3	36652	44.1%
4	21485	25.9%
5	579	0.7%
6	265	0.3%
8	317	0.4%
10	1	< 0.1%
12	2	< 0.1%

Value	Count	Frequency (%)
16	504	0.6%
14	1	< 0.1%
12	2	< 0.1%
10	1	< 0.1%
8	317	0.4%
6	265	0.3%
5	579	0.7%
4	21485	25.9%
3	36652	44.1%
2	12452	15.0%

COLL_DESC
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.1 MiB

FAC DE INGENIERIA	27906
FAC DE INGEN FISICO MECANICAS	27184
FAC DE INGEN ADMINISTRATIVAS	14880
FAC DE INGEN DE SISTEMAS	13114

Length

Max length	29
Median length	28
Mean length	24.00117953
Min length	17

Characters and Unicode

Total characters	1994114
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FAC DE INGEN ADMINISTRATIVAS
2nd row	FAC DE INGEN ADMINISTRATIVAS
3rd row	FAC DE INGEN ADMINISTRATIVAS
4th row	FAC DE INGEN ADMINISTRATIVAS
5th row	FAC DE INGEN ADMINISTRATIVAS

Common Values

Value	Count	Frequency (%)
FAC DE INGENIERIA	27906	33.6%
FAC DE INGEN FISICO MECANICAS	27184	32.7%
FAC DE INGEN ADMINISTRATIVAS	14880	17.9%
FAC DE INGEN DE SISTEMAS	13114	15.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
de	96198	27.9%
fac	83084	24.1%
ingen	55178	16.0%
ingenieria	27906	8.1%
mecanicas	27184	7.9%
fisico	27184	7.9%
administrativas	14880	4.3%
sistemas	13114	3.8%

Most occurring characters

Value	Count	Frequency (%)
I	278202	14.0%
	261644	13.1%
E	247486	12.4%
A	223112	11.2%
N	208232	10.4%
C	164636	8.3%
S	123470	6.2%
D	111078	5.6%
F	110268	5.5%
G	83084	4.2%
Other values (5)	182902	9.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1732470	86.9%
Space Separator	261644	13.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	278202	16.1%
E	247486	14.3%
A	223112	12.9%
N	208232	12.0%
C	164636	9.5%
S	123470	7.1%
D	111078	6.4%
F	110268	6.4%
G	83084	4.8%
M	55178	3.2%
Other values (4)	127724	7.4%

Space Separator

Value	Count	Frequency (%)
	261644	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1732470	86.9%
Common	261644	13.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	278202	16.1%
E	247486	14.3%
A	223112	12.9%
N	208232	12.0%
C	164636	9.5%
S	123470	7.1%
D	111078	6.4%
F	110268	6.4%
G	83084	4.8%
M	55178	3.2%
Other values (4)	127724	7.4%

Common

Value	Count	Frequency (%)
	261644	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1994114	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	278202	14.0%
	261644	13.1%
E	247486	12.4%
A	223112	11.2%
N	208232	10.4%
C	164636	8.3%
S	123470	6.2%
D	111078	5.6%
F	110268	5.5%
G	83084	4.2%
Other values (5)	182902	9.2%

MAJR_DESC1
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.8 MiB

INGENIERIA MECATRONICA	19452
INGENIERIA DE SISTEMAS	18104
INGENIERIA FINANCIERA	15251
INGENIERIA EN ENERGIA	12083
INGENIERIA BIOMEDICA	10671
Other values (3)	7523

Length

Max length	29
Median length	22
Mean length	21.40333879
Min length	20

Characters and Unicode

Total characters	1778275
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INGENIERIA DE MERCADOS
2nd row	INGENIERIA DE MERCADOS
3rd row	INGENIERIA DE MERCADOS
4th row	INGENIERIA DE MERCADOS
5th row	INGENIERIA DE MERCADOS

Common Values

Value	Count	Frequency (%)
INGENIERIA MECATRONICA	19452	23.4%
INGENIERIA DE SISTEMAS	18104	21.8%
INGENIERIA FINANCIERA	15251	18.4%
INGENIERIA EN ENERGIA	12083	14.5%
INGENIERIA BIOMEDICA	10671	12.8%
INGENIERIA DE MERCADOS	4994	6.0%
INGENIERIA INDUSTRIAL	2325	2.8%
GESTION DE SISTEMAS DE INFORM	204	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ingenieria	82880	41.0%
de	23506	11.6%
mecatronica	19452	9.6%
sistemas	18308	9.1%
financiera	15251	7.6%
energia	12083	6.0%
en	12083	6.0%
biomedica	10671	5.3%
mercados	4994	2.5%
industrial	2325	1.2%
Other values (2)	408	0.2%

Most occurring characters

Value	Count	Frequency (%)
I	355385	20.0%
E	294395	16.6%
N	242613	13.6%
A	200667	11.3%
R	137189	7.7%
	118877	6.7%
G	95167	5.4%
C	69820	3.9%
S	62447	3.5%
M	53629	3.0%
Other values (7)	148086	8.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1659398	93.3%
Space Separator	118877	6.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	355385	21.4%
E	294395	17.7%
N	242613	14.6%
A	200667	12.1%
R	137189	8.3%
G	95167	5.7%
C	69820	4.2%
S	62447	3.8%
M	53629	3.2%
D	41496	2.5%
Other values (6)	106590	6.4%

Space Separator

Value	Count	Frequency (%)
	118877	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1659398	93.3%
Common	118877	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	355385	21.4%
E	294395	17.7%
N	242613	14.6%
A	200667	12.1%
R	137189	8.3%
G	95167	5.7%
C	69820	4.2%
S	62447	3.8%
M	53629	3.2%
D	41496	2.5%
Other values (6)	106590	6.4%

Common

Value	Count	Frequency (%)
	118877	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1778275	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	355385	20.0%
E	294395	16.6%
N	242613	13.6%
A	200667	11.3%
R	137189	7.7%
	118877	6.7%
G	95167	5.4%
C	69820	3.9%
S	62447	3.5%
M	53629	3.0%
Other values (7)	148086	8.3%

CAMPUS
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.3 MiB

CC	82876
CV	204
UN	4

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	166168
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CC
2nd row	CC
3rd row	CC
4th row	CC
5th row	CC

Common Values

Value	Count	Frequency (%)
CC	82876	99.7%
CV	204	0.2%
UN	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
cc	82876	99.7%
cv	204	0.2%
un	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
C	165956	99.9%
V	204	0.1%
U	4	< 0.1%
N	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	166168	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	165956	99.9%
V	204	0.1%
U	4	< 0.1%
N	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	166168	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	165956	99.9%
V	204	0.1%
U	4	< 0.1%
N	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	166168	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	165956	99.9%
V	204	0.1%
U	4	< 0.1%
N	4	< 0.1%

IND_REP
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	75153
Missing (%)	90.5%
Memory size	3.4 MiB

E	4244
I	3687

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7931
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	E
2nd row	E
3rd row	E
4th row	I
5th row	I

Common Values

Value	Count	Frequency (%)
E	4244	5.1%
I	3687	4.4%
(Missing)	75153	90.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
e	4244	53.5%
i	3687	46.5%

Most occurring characters

Value	Count	Frequency (%)
E	4244	53.5%
I	3687	46.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	7931	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	4244	53.5%
I	3687	46.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7931	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	4244	53.5%
I	3687	46.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7931	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	4244	53.5%
I	3687	46.5%

BECA_GOB_ICFES
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.9 MiB

NOTIENE	49521
BI14 - PLAN 10000 BECAS GOBIERNO 2014, BM14 - MATRICULA 10000 BECAS GOB 2014	12455
BI15 - PLAN 10000 BECAS GOBIERNO 2015, BM15 - MATRICULA 10000 BECAS GOB 2015	11143
BI16 - PLAN 10000 BECAS GOBIERNO 2016, BM16 - MATRICULA 10000 BECAS GOB 2016	5381
BI17 - PLAN 10000 BECAS GOBIERNO 2017, BM17 - MATRICULA 10000 BECAS GOB 2017	3006
Other values (11)	1578

Length

Max length	77
Median length	7
Mean length	34.78703481
Min length	7

Characters and Unicode

Total characters	2890246
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NOTIENE
2nd row	NOTIENE
3rd row	NOTIENE
4th row	NOTIENE
5th row	NOTIENE

Common Values

Value	Count	Frequency (%)
NOTIENE	49521	59.6%
BI14 - PLAN 10000 BECAS GOBIERNO 2014, BM14 - MATRICULA 10000 BECAS GOB 2014	12455	15.0%
BI15 - PLAN 10000 BECAS GOBIERNO 2015, BM15 - MATRICULA 10000 BECAS GOB 2015	11143	13.4%
BI16 - PLAN 10000 BECAS GOBIERNO 2016, BM16 - MATRICULA 10000 BECAS GOB 2016	5381	6.5%
BI17 - PLAN 10000 BECAS GOBIERNO 2017, BM17 - MATRICULA 10000 BECAS GOB 2017	3006	3.6%
BI18 - GENERACION E BECAS GOB 2018, BM18 - MATRICULA GEN E BECAS GOB 2018	599	0.7%
BI19 - GENERACION E BECAS GOB 2019	361	0.4%
BI17 - PLAN 10000 BECAS GOBIERNO 2017	183	0.2%
BM14 - MATRICULA 10000 BECAS GOB 2014	132	0.2%
BM15 - MATRICULA 10000 BECAS GOB 2015	74	0.1%
Other values (6)	229	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	66157	12.9%
becas	66157	12.9%
10000	64571	12.6%
notiene	49521	9.6%
gob	33827	6.6%
matricula	32840	6.4%
plan	32330	6.3%
gobierno	32330	6.3%
2014	25079	4.9%
2015	22435	4.4%
Other values (18)	87972	17.1%

Most occurring characters

Value	Count	Frequency (%)
	463698	16.0%
0	324441	11.2%
E	201688	7.0%
B	198471	6.9%
1	196885	6.8%
N	166275	5.8%
A	165154	5.7%
O	148995	5.2%
I	148995	5.2%
C	99984	3.5%
Other values (17)	775660	26.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1608000	55.6%
Decimal Number	719797	24.9%
Space Separator	463698	16.0%
Dash Punctuation	66157	2.3%
Other Punctuation	32594	1.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	201688	12.5%
B	198471	12.3%
N	166275	10.3%
A	165154	10.3%
O	148995	9.3%
I	148995	9.3%
C	99984	6.2%
T	82361	5.1%
G	67743	4.2%
S	66157	4.1%
Other values (5)	262177	16.3%

Decimal Number

Value	Count	Frequency (%)
0	324441	45.1%
1	196885	27.4%
2	66157	9.2%
4	50158	7.0%
5	44870	6.2%
6	21724	3.0%
7	12390	1.7%
8	2450	0.3%
9	722	0.1%

Space Separator

Value	Count	Frequency (%)
	463698	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	66157	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	32594	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1608000	55.6%
Common	1282246	44.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	201688	12.5%
B	198471	12.3%
N	166275	10.3%
A	165154	10.3%
O	148995	9.3%
I	148995	9.3%
C	99984	6.2%
T	82361	5.1%
G	67743	4.2%
S	66157	4.1%
Other values (5)	262177	16.3%

Common

Value	Count	Frequency (%)
	463698	36.2%
0	324441	25.3%
1	196885	15.4%
-	66157	5.2%
2	66157	5.2%
4	50158	3.9%
5	44870	3.5%
,	32594	2.5%
6	21724	1.7%
7	12390	1.0%
Other values (2)	3172	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2890246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	463698	16.0%
0	324441	11.2%
E	201688	7.0%
B	198471	6.9%
1	196885	6.8%
N	166275	5.8%
A	165154	5.7%
O	148995	5.2%
I	148995	5.2%
C	99984	3.5%
Other values (17)	775660	26.8%

HAVE_BECA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 MiB

0	49521
1	33563

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	83084
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49521	59.6%
1	33563	40.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	49521	59.6%
1	33563	40.4%

Most occurring characters

Value	Count	Frequency (%)
0	49521	59.6%
1	33563	40.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	83084	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49521	59.6%
1	33563	40.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	83084	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49521	59.6%
1	33563	40.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	83084	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49521	59.6%
1	33563	40.4%

HAVE_PHONE
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 MiB

0	47344
1	35740

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	83084
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	47344	57.0%
1	35740	43.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	47344	57.0%
1	35740	43.0%

Most occurring characters

Value	Count	Frequency (%)
0	47344	57.0%
1	35740	43.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	83084	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	47344	57.0%
1	35740	43.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	83084	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	47344	57.0%
1	35740	43.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	83084	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	47344	57.0%
1	35740	43.0%

PSC
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	54
Distinct (%)	0.1%
Missing	26574
Missing (%)	32.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.6757919

Minimum	31
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	31
5-th percentile	52
Q1	60
median	65
Q3	70
95-th percentile	76
Maximum	100
Range	69
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.626750404
Coefficient of variation (CV)	0.1179227989
Kurtosis	0.8802472113
Mean	64.6757919
Median Absolute Deviation (MAD)	5
Skewness	-0.2882699828
Sum	3654829
Variance	58.16732172
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
65	4512	5.4%
62	3920	4.7%
67	3493	4.2%
70	3329	4.0%
59	3034	3.7%
68	2798	3.4%
64	2772	3.3%
72	2326	2.8%
69	2164	2.6%
61	2146	2.6%
Other values (44)	26016	31.3%
(Missing)	26574	32.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
31	22	< 0.1%
35	4	< 0.1%
36	49	0.1%
37	5	< 0.1%
38	18	< 0.1%
39	54	0.1%
40	47	0.1%
41	65	0.1%
42	138	0.2%
43	79	0.1%

Value	Count	Frequency (%)
100	38	< 0.1%
88	173	0.2%
87	52	0.1%
84	105	0.1%
83	53	0.1%
82	34	< 0.1%
81	500	0.6%
80	36	< 0.1%
79	408	0.5%
78	534	0.6%

PMA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	56
Distinct (%)	0.1%
Missing	26574
Missing (%)	32.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.79768183

Minimum	36
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	36
5-th percentile	55
Q1	64
median	70
Q3	75
95-th percentile	84
Maximum	100
Range	64
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	9.130150053
Coefficient of variation (CV)	0.1308087864
Kurtosis	0.7248443497
Mean	69.79768183
Median Absolute Deviation (MAD)	6
Skewness	0.06599426326
Sum	3944267
Variance	83.35963999
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	3838	4.6%
74	3754	4.5%
72	3610	4.3%
67	3388	4.1%
63	2305	2.8%
75	2298	2.8%
64	2292	2.8%
68	2148	2.6%
65	2050	2.5%
69	1920	2.3%
Other values (46)	28907	34.8%
(Missing)	26574	32.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
36	24	< 0.1%
38	51	0.1%
39	3	< 0.1%
42	16	< 0.1%
44	121	0.1%
45	114	0.1%
46	221	0.3%
47	218	0.3%
48	98	0.1%
49	186	0.2%

Value	Count	Frequency (%)
100	388	0.5%
97	38	< 0.1%
96	168	0.2%
95	56	0.1%
93	184	0.2%
92	48	0.1%
90	151	0.2%
89	275	0.3%
87	678	0.8%
86	194	0.2%

PLC
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	48
Distinct (%)	0.1%
Missing	26574
Missing (%)	32.0%
Infinite	0
Infinite (%)	0.0%
Mean	63.72436737

Minimum	40
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	40
5-th percentile	52
Q1	59
median	63
Q3	69
95-th percentile	76
Maximum	93
Range	53
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.30625664
Coefficient of variation (CV)	0.1146540474
Kurtosis	0.1448315384
Mean	63.72436737
Median Absolute Deviation (MAD)	5
Skewness	0.02645706064
Sum	3601064
Variance	53.38138608
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
65	5482	6.6%
63	4442	5.3%
67	4160	5.0%
69	3527	4.2%
60	3504	4.2%
61	3207	3.9%
58	2623	3.2%
57	2596	3.1%
54	2353	2.8%
71	2337	2.8%
Other values (38)	22279	26.8%
(Missing)	26574	32.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
40	27	< 0.1%
41	25	< 0.1%
42	32	< 0.1%
43	56	0.1%
44	137	0.2%
45	36	< 0.1%
46	289	0.3%
47	323	0.4%
48	246	0.3%
49	492	0.6%

Value	Count	Frequency (%)
93	54	0.1%
92	23	< 0.1%
85	18	< 0.1%
84	163	0.2%
83	95	0.1%
82	159	0.2%
81	60	0.1%
80	263	0.3%
79	338	0.4%
78	394	0.5%

PIN
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	62
Distinct (%)	0.1%
Missing	26574
Missing (%)	32.0%
Infinite	0
Infinite (%)	0.0%
Mean	63.92590692

Minimum	35
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	35
5-th percentile	46
Q1	55
median	63
Q3	72
95-th percentile	83
Maximum	100
Range	65
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	11.6049232
Coefficient of variation (CV)	0.1815370913
Kurtosis	-0.01735206546
Mean	63.92590692
Median Absolute Deviation (MAD)	8
Skewness	0.3777961027
Sum	3612453
Variance	134.6742426
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
71	2542	3.1%
55	2441	2.9%
65	2226	2.7%
58	2135	2.6%
59	2119	2.6%
53	2106	2.5%
64	2099	2.5%
60	2003	2.4%
54	1964	2.4%
57	1807	2.2%
Other values (52)	35068	42.2%
(Missing)	26574	32.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
35	4	< 0.1%
36	23	< 0.1%
37	82	0.1%
38	94	0.1%
39	34	< 0.1%
40	194	0.2%
41	542	0.7%
42	76	0.1%
43	430	0.5%
44	733	0.9%

Value	Count	Frequency (%)
100	424	0.5%
97	20	< 0.1%
95	99	0.1%
94	384	0.5%
93	150	0.2%
92	86	0.1%
91	86	0.1%
90	126	0.2%
88	177	0.2%
87	107	0.1%

PCN
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	50
Distinct (%)	0.1%
Missing	26610
Missing (%)	32.0%
Infinite	0
Infinite (%)	0.0%
Mean	67.23499309

Minimum	36
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	36
5-th percentile	54
Q1	63
median	68
Q3	72
95-th percentile	79
Maximum	100
Range	64
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.799193
Coefficient of variation (CV)	0.1159990154
Kurtosis	1.432080524
Mean	67.23499309
Median Absolute Deviation (MAD)	4
Skewness	-0.2549130608
Sum	3797029
Variance	60.82741145
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
71	3734	4.5%
67	3464	4.2%
69	3294	4.0%
68	3256	3.9%
70	3179	3.8%
66	3157	3.8%
72	2964	3.6%
65	2755	3.3%
64	2505	3.0%
74	2493	3.0%
Other values (40)	25673	30.9%
(Missing)	26610	32.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
36	51	0.1%
37	61	0.1%
42	57	0.1%
43	69	0.1%
44	158	0.2%
45	110	0.1%
46	104	0.1%
47	380	0.5%
48	281	0.3%
49	172	0.2%

Value	Count	Frequency (%)
100	129	0.2%
96	18	< 0.1%
90	265	0.3%
87	100	0.1%
86	239	0.3%
84	143	0.2%
83	313	0.4%
82	145	0.2%
81	569	0.7%
80	497	0.6%

ICQU
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	81
Distinct (%)	1.3%
Missing	77050
Missing (%)	92.7%
Infinite	0
Infinite (%)	0.0%
Mean	55.2235648

Minimum	31.49
Maximum	88
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	31.49
5-th percentile	39.88
Q1	49
median	55
Q3	62
95-th percentile	69.14
Maximum	88
Range	56.51
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.389154823
Coefficient of variation (CV)	0.1700208028
Kurtosis	0.3242025053
Mean	55.2235648
Median Absolute Deviation (MAD)	6
Skewness	0.2752671902
Sum	333218.99
Variance	88.15622828
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59	439	0.5%
56	370	0.4%
65	363	0.4%
54	347	0.4%
62	317	0.4%
48	246	0.3%
51	199	0.2%
50	181	0.2%
53	169	0.2%
69	157	0.2%
Other values (71)	3246	3.9%
(Missing)	77050	92.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
31.49	10	< 0.1%
32	25	< 0.1%
34.91	39	< 0.1%
36	9	< 0.1%
36.78	38	< 0.1%
37	29	< 0.1%
38	37	< 0.1%
38.67	10	< 0.1%
39	40	< 0.1%
39.62	33	< 0.1%

Value	Count	Frequency (%)
88	41	< 0.1%
77	31	< 0.1%
76	48	0.1%
75.02	66	0.1%
75	54	0.1%
71.97	17	< 0.1%
70	42	0.1%
69.14	49	0.1%
69	157	0.2%
68	89	0.1%

ICMA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	89
Distinct (%)	1.5%
Missing	77050
Missing (%)	92.7%
Infinite	0
Infinite (%)	0.0%
Mean	60.24383825

Minimum	31
Maximum	88
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	31
5-th percentile	42
Q1	54
median	60
Q3	68
95-th percentile	83
Maximum	88
Range	57
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	11.4738818
Coefficient of variation (CV)	0.1904573503
Kurtosis	-0.1730887047
Mean	60.24383825
Median Absolute Deviation (MAD)	8
Skewness	0.1454429348
Sum	363511.32
Variance	131.6499636
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	421	0.5%
65	329	0.4%
60	286	0.3%
55	222	0.3%
62	214	0.3%
58	188	0.2%
59	183	0.2%
54	181	0.2%
52	176	0.2%
61	172	0.2%
Other values (79)	3662	4.4%
(Missing)	77050	92.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
31	29	< 0.1%
34	48	0.1%
35	9	< 0.1%
35.55	6	< 0.1%
38	43	0.1%
39	15	< 0.1%
39.12	5	< 0.1%
40.82	7	< 0.1%
41	123	0.1%
42	53	0.1%

Value	Count	Frequency (%)
88	54	0.1%
85.53	33	< 0.1%
85	83	0.1%
83	140	0.2%
82	52	0.1%
79	76	0.1%
78.36	17	< 0.1%
78	50	0.1%
77	70	0.1%
75.41	11	< 0.1%

ICLE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	73
Distinct (%)	1.2%
Missing	77050
Missing (%)	92.7%
Infinite	0
Infinite (%)	0.0%
Mean	54.83833444

Minimum	36
Maximum	76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	36
5-th percentile	43
Q1	50
median	54.54
Q3	60
95-th percentile	66
Maximum	76
Range	40
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	6.821105659
Coefficient of variation (CV)	0.124385719
Kurtosis	0.2161309478
Mean	54.83833444
Median Absolute Deviation (MAD)	4.54
Skewness	0.1086876941
Sum	330894.51
Variance	46.52748241
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	492	0.6%
50	472	0.6%
60	445	0.5%
52	372	0.4%
54	358	0.4%
48	328	0.4%
55	304	0.4%
62	277	0.3%
56	199	0.2%
65	172	0.2%
Other values (63)	2615	3.1%
(Missing)	77050	92.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
36	2	< 0.1%
38	57	0.1%
40	53	0.1%
40.12	5	< 0.1%
41	99	0.1%
42	40	< 0.1%
42.76	32	< 0.1%
43	99	0.1%
43.85	42	0.1%
43.94	3	< 0.1%

Value	Count	Frequency (%)
76	38	< 0.1%
73.98	31	< 0.1%
70.74	17	< 0.1%
70	53	0.1%
69	24	< 0.1%
67	99	0.1%
66	52	0.1%
65	172	0.2%
64.91	33	< 0.1%
63	69	0.1%

ICHI
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	3.9%
Missing	82749
Missing (%)	99.6%
Infinite	0
Infinite (%)	0.0%
Mean	48.59483582

Minimum	40.42
Maximum	54
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	40.42
5-th percentile	42.46
Q1	46.47
median	48.04
Q3	51.62
95-th percentile	53.53
Maximum	54
Range	13.58
Interquartile range (IQR)	5.15

Descriptive statistics

Standard deviation	3.997747781
Coefficient of variation (CV)	0.08226692639
Kurtosis	-1.118160045
Mean	48.59483582
Median Absolute Deviation (MAD)	3.58
Skewness	-0.3544014483
Sum	16279.27
Variance	15.98198732
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
46.47	44	0.1%
50	41	< 0.1%
51.62	41	< 0.1%
42.88	39	< 0.1%
53.53	38	< 0.1%
48.04	38	< 0.1%
53	36	< 0.1%
42.46	17	< 0.1%
48	12	< 0.1%
44	9	< 0.1%
Other values (3)	20	< 0.1%
(Missing)	82749	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
40.42	6	< 0.1%
41.17	5	< 0.1%
42.46	17	< 0.1%
42.88	39	< 0.1%
44	9	< 0.1%
46.47	44	0.1%
48	12	< 0.1%
48.04	38	< 0.1%
50	41	< 0.1%
51.62	41	< 0.1%

Value	Count	Frequency (%)
54	9	< 0.1%
53.53	38	< 0.1%
53	36	< 0.1%
51.62	41	< 0.1%
50	41	< 0.1%
48.04	38	< 0.1%
48	12	< 0.1%
46.47	44	0.1%
44	9	< 0.1%
42.88	39	< 0.1%

ICGE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	3.9%
Missing	82749
Missing (%)	99.6%
Infinite	0
Infinite (%)	0.0%
Mean	47.25259701

Minimum	33.16
Maximum	60.66
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	33.16
5-th percentile	36.15
Q1	42.68
median	47.24
Q3	49.14
95-th percentile	60.66
Maximum	60.66
Range	27.5
Interquartile range (IQR)	6.46

Descriptive statistics

Standard deviation	6.495615896
Coefficient of variation (CV)	0.1374657967
Kurtosis	0.244834236
Mean	47.25259701
Median Absolute Deviation (MAD)	2.59
Skewness	0.4342425573
Sum	15829.62
Variance	42.19302587
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
49	77	0.1%
44.65	44	0.1%
49.14	41	< 0.1%
42.68	39	< 0.1%
60.66	38	< 0.1%
47.24	28	< 0.1%
36.15	17	< 0.1%
39	12	< 0.1%
38.74	10	< 0.1%
56	9	< 0.1%
Other values (3)	20	< 0.1%
(Missing)	82749	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
33.16	6	< 0.1%
36.15	17	< 0.1%
38.74	10	< 0.1%
39	12	< 0.1%
42	9	< 0.1%
42.68	39	< 0.1%
44.65	44	0.1%
46.81	5	< 0.1%
47.24	28	< 0.1%
49	77	0.1%

Value	Count	Frequency (%)
60.66	38	< 0.1%
56	9	< 0.1%
49.14	41	< 0.1%
49	77	0.1%
47.24	28	< 0.1%
46.81	5	< 0.1%
44.65	44	0.1%
42.68	39	< 0.1%
42	9	< 0.1%
39	12	< 0.1%

ICFL
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	85
Distinct (%)	1.4%
Missing	77050
Missing (%)	92.7%
Infinite	0
Infinite (%)	0.0%
Mean	47.91555519

Minimum	17.7
Maximum	84
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	17.7
5-th percentile	33
Q1	42
median	47.37
Q3	54
95-th percentile	63.68
Maximum	84
Range	66.3
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	10.1344031
Coefficient of variation (CV)	0.2115054926
Kurtosis	0.9082644637
Mean	47.91555519
Median Absolute Deviation (MAD)	6.09
Skewness	0.1416438573
Sum	289122.46
Variance	102.7061263
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
53	477	0.6%
44	299	0.4%
51	254	0.3%
43	242	0.3%
42	214	0.3%
45	214	0.3%
46	205	0.2%
61	190	0.2%
55	180	0.2%
34	154	0.2%
Other values (75)	3605	4.3%
(Missing)	77050	92.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
17.7	42	0.1%
24	49	0.1%
24.08	7	< 0.1%
25	58	0.1%
28	30	< 0.1%
28.3	10	< 0.1%
30	103	0.1%
33	88	0.1%
34	154	0.2%
35	2	< 0.1%

Value	Count	Frequency (%)
84	41	< 0.1%
77	48	0.1%
70	5	< 0.1%
66	44	0.1%
65.24	15	< 0.1%
65	122	0.1%
63.68	31	< 0.1%
63	52	0.1%
62	112	0.1%
61.83	41	< 0.1%

ICFI
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	84
Distinct (%)	1.4%
Missing	77050
Missing (%)	92.7%
Infinite	0
Infinite (%)	0.0%
Mean	57.18990554

Minimum	31
Maximum	107
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	31
5-th percentile	41
Q1	50
median	56
Q3	62
95-th percentile	79.203
Maximum	107
Range	76
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	11.70212682
Coefficient of variation (CV)	0.2046187471
Kurtosis	3.205279424
Mean	57.18990554
Median Absolute Deviation (MAD)	6
Skewness	1.242947509
Sum	345083.89
Variance	136.9397721
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
62	579	0.7%
53	494	0.6%
59	365	0.4%
50	307	0.4%
52	247	0.3%
57	246	0.3%
66	225	0.3%
56	205	0.2%
47	193	0.2%
55	152	0.2%
Other values (74)	3021	3.6%
(Missing)	77050	92.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
31	25	< 0.1%
33	60	0.1%
36.62	6	< 0.1%
37.5	38	< 0.1%
37.52	5	< 0.1%
38	41	< 0.1%
39	15	< 0.1%
40	57	0.1%
41	61	0.1%
42.13	42	0.1%

Value	Count	Frequency (%)
107	52	0.1%
99	41	< 0.1%
93	18	< 0.1%
87	78	0.1%
86	53	0.1%
80	43	0.1%
79.58	17	< 0.1%
79	48	0.1%
76	41	< 0.1%
74	106	0.1%

ICBI
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	83
Distinct (%)	1.4%
Missing	77050
Missing (%)	92.7%
Infinite	0
Infinite (%)	0.0%
Mean	54.00258535

Minimum	28.18
Maximum	76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	28.18
5-th percentile	41
Q1	48.95
median	53
Q3	59
95-th percentile	69.14
Maximum	76
Range	47.82
Interquartile range (IQR)	10.05

Descriptive statistics

Standard deviation	8.247325015
Coefficient of variation (CV)	0.1527209292
Kurtosis	0.002917575164
Mean	54.00258535
Median Absolute Deviation (MAD)	5
Skewness	0.2564556969
Sum	325851.6
Variance	68.01836991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
51	502	0.6%
53	369	0.4%
57	357	0.4%
55	249	0.3%
64	214	0.3%
54	204	0.2%
58	194	0.2%
48	185	0.2%
45	177	0.2%
62	166	0.2%
Other values (73)	3417	4.1%
(Missing)	77050	92.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
28.18	5	< 0.1%
33	15	< 0.1%
36.28	6	< 0.1%
36.32	44	0.1%
37	79	0.1%
38	7	< 0.1%
39	69	0.1%
40	7	< 0.1%
41	156	0.2%
42	52	0.1%

Value	Count	Frequency (%)
76	39	< 0.1%
75	44	0.1%
72	59	0.1%
71.9	80	0.1%
71	32	< 0.1%
69.65	33	< 0.1%
69.14	28	< 0.1%
69	10	< 0.1%
68.87	44	0.1%
68	41	< 0.1%

ICSO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	70
Distinct (%)	1.2%
Missing	77385
Missing (%)	93.1%
Infinite	0
Infinite (%)	0.0%
Mean	52.57265661

Minimum	5
Maximum	72
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	5
5-th percentile	38
Q1	46.81
median	53
Q3	59
95-th percentile	66.87
Maximum	72
Range	67
Interquartile range (IQR)	12.19

Descriptive statistics

Standard deviation	9.904179007
Coefficient of variation (CV)	0.1883903087
Kurtosis	3.624343329
Mean	52.57265661
Median Absolute Deviation (MAD)	6
Skewness	-0.9366627911
Sum	299611.57
Variance	98.09276181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
56	540	0.6%
50	342	0.4%
63	310	0.4%
54	284	0.3%
61	242	0.3%
47	212	0.3%
46	185	0.2%
41	173	0.2%
38	164	0.2%
42	156	0.2%
Other values (60)	3091	3.7%
(Missing)	77385	93.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	55	0.1%
32.88	6	< 0.1%
33	5	< 0.1%
34.19	36	< 0.1%
36	62	0.1%
37	57	0.1%
37.44	42	0.1%
38	164	0.2%
39	51	0.1%
41	173	0.2%

Value	Count	Frequency (%)
72	147	0.2%
71	7	< 0.1%
69.63	17	< 0.1%
69.34	31	< 0.1%
69	13	< 0.1%
68	59	0.1%
66.87	49	0.1%
66.85	11	< 0.1%
66	141	0.2%
65.68	10	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	SUBJ_DESC	CRSE_NUMBER	GRDE_CODE_FINAL	CRN_KEY	CRED_ACAD	COLL_DESC	MAJR_DESC1	CAMPUS	IND_REP	BECA_GOB_ICFES	HAVE_PHONE	PSC	PMA	PLC	PIN	PCN	ICQU	ICMA	ICLE	ICHI	ICGE	ICFL	ICFI	ICBI	ICSO
0	ADMINISTRACION	109	3.8	44362	2.0	FAC DE INGEN ADMINISTRATIVAS	INGENIERIA DE MERCADOS	CC	NaN	NOTIENE	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	ADMINISTRACION	126	4.7	35753	2.0	FAC DE INGEN ADMINISTRATIVAS	INGENIERIA DE MERCADOS	CC	NaN	NOTIENE	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	ADMINISTRACION	126	4.5	35753	2.0	FAC DE INGEN ADMINISTRATIVAS	INGENIERIA DE MERCADOS	CC	NaN	NOTIENE	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	ADMINISTRACION	126	4.2	35753	2.0	FAC DE INGEN ADMINISTRATIVAS	INGENIERIA DE MERCADOS	CC	NaN	NOTIENE	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	ADMINISTRACION	16001	4.5	41884	4.0	FAC DE INGEN ADMINISTRATIVAS	INGENIERIA DE MERCADOS	CC	NaN	NOTIENE	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	ADMINISTRACION	109	4.3	44362	2.0	FAC DE INGEN ADMINISTRATIVAS	INGENIERIA DE MERCADOS	CC	NaN	NOTIENE	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	ADMINISTRACION	126	4.7	35753	2.0	FAC DE INGEN ADMINISTRATIVAS	INGENIERIA DE MERCADOS	CC	NaN	NOTIENE	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	ADMINISTRACION	109	3.0	44362	2.0	FAC DE INGEN ADMINISTRATIVAS	INGENIERIA DE MERCADOS	CC	NaN	NOTIENE	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	ADMINISTRACION	126	4.5	35753	2.0	FAC DE INGEN ADMINISTRATIVAS	INGENIERIA DE MERCADOS	CC	NaN	NOTIENE	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	ADMINISTRACION	109	3.6	44362	2.0	FAC DE INGEN ADMINISTRATIVAS	INGENIERIA DE MERCADOS	CC	NaN	NOTIENE	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	SUBJ_DESC	CRSE_NUMBER	GRDE_CODE_FINAL	CRN_KEY	CRED_ACAD	COLL_DESC	MAJR_DESC1	CAMPUS	IND_REP	BECA_GOB_ICFES	HAVE_BECA	HAVE_PHONE	PSC	PMA	PLC	PIN	PCN	ICQU	ICMA	ICLE	ICHI	ICGE	ICFL	ICFI	ICBI	ICSO
83074	TERMOFLUIDOS	18001	4.5	46999	3.0	FAC DE INGENIERIA	INGENIERIA MECATRONICA	CC	I	NOTIENE	0	0	54.0	64.0	68.0	50.0	64.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
83075	TERMOFLUIDOS	18001	3.5	46999	3.0	FAC DE INGENIERIA	INGENIERIA MECATRONICA	CC	NaN	NOTIENE	0	1	63.0	62.0	64.0	66.0	65.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
83076	TERMOFLUIDOS	18002	3.3	47869	3.0	FAC DE INGENIERIA	INGENIERIA MECATRONICA	CC	NaN	NOTIENE	0	0	72.0	76.0	79.0	83.0	68.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
83077	TERMOFLUIDOS	18001	3.6	46999	3.0	FAC DE INGENIERIA	INGENIERIA MECATRONICA	CC	I	BI16 - PLAN 10000 BECAS GOBIERNO 2016, BM16 - MATRICULA 10000 BECAS GOB 2016	1	1	67.0	75.0	70.0	72.0	67.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
83078	TERMOFLUIDOS	18002	3.1	47885	3.0	FAC DE INGENIERIA	INGENIERIA MECATRONICA	CC	NaN	BI17 - PLAN 10000 BECAS GOBIERNO 2017, BM17 - MATRICULA 10000 BECAS GOB 2017	1	1	74.0	75.0	72.0	83.0	71.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
83079	TERMOFLUIDOS	18002	3.5	47885	3.0	FAC DE INGENIERIA	INGENIERIA MECATRONICA	CC	NaN	NOTIENE	0	1	48.0	66.0	59.0	56.0	53.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
83080	TERMOFLUIDOS	18001	2.4	46999	3.0	FAC DE INGENIERIA	INGENIERIA MECATRONICA	CC	NaN	BI17 - PLAN 10000 BECAS GOBIERNO 2017, BM17 - MATRICULA 10000 BECAS GOB 2017	1	0	65.0	77.0	72.0	59.0	71.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
83081	TERMOFLUIDOS	18002	4.2	50572	3.0	FAC DE INGENIERIA	INGENIERIA MECATRONICA	CC	NaN	NOTIENE	0	0	60.0	67.0	63.0	69.0	66.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
83082	TERMOFLUIDOS	18001	3.7	46999	3.0	FAC DE INGENIERIA	INGENIERIA MECATRONICA	CC	NaN	BI16 - PLAN 10000 BECAS GOBIERNO 2016, BM16 - MATRICULA 10000 BECAS GOB 2016	1	0	65.0	73.0	78.0	74.0	75.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
83083	TERMOFLUIDOS	18002	4.0	47869	3.0	FAC DE INGENIERIA	INGENIERIA MECATRONICA	CC	NaN	BI18 - GENERACION E BECAS GOB 2018, BM18 - MATRICULA GEN E BECAS GOB 2018	1	1	67.0	83.0	70.0	78.0	74.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category